Databricks
Explore open data foundations, a unified catalog and tools for analytics and AI applications.
Official platform overview →
THE DATA + AI CONNECTION
Better data.
More useful AI.
Make sense of the platforms, principles and decisions that turn enterprise data into practical intelligence.
Independent insight. Clear choices. A stronger foundation.
START WITH THE FOUNDATION
AI starts long before
the first prompt.
The quality of an answer depends on the data, context and permissions behind it. Explore the decisions that connect them.
01 / FOUNDATIONBring the data
Know what
Give intelligence
Bring the data
into focus.
Understand warehouses, lakes and lakehouses. Start with the workload you need to support.
Explore the foundation →02 / TRUSTKnow what
AI can use.
Connect ownership, quality, access and lineage before expanding access to people or agents.
Understand governance →03 / APPLICATIONGive intelligence
the right context.
Define business meaning, evaluate the answers and keep a person responsible for outcomes.
Move towards useful AI →FROM SOURCE TO DECISION
A clear path through
a complex landscape.
Think about the whole journey. A powerful model is one part of a system that also needs reliable data and a way to judge the result.
Read the practical guide →INPUT
Your data estate
Tables · documents · events
FOUNDATION
Quality + governance
Ownership · access · lineage
CONTEXT
Business meaning
Definitions · retrieval · evidence
OUTCOME
Answers you can evaluate
Accuracy · usefulness · cost
WORKING TOOL / NO SIGN-UP
Where should
you start?
Build a short action brief from your own answers. This planning aid highlights gaps; it is not a certification or platform recommendation.
YOUR STARTING POINT
Make the next decision clearer.
Select your workload and the foundations you already have. Your brief will show what to tackle next.
- Identify the first useful workload.
- Check the data and access behind it.
- Define how you will measure success.
Your answers stay in this browser. No data is sent.
PLATFORM LANDSCAPE
Different approaches.
Shared questions.
Snowflake
Explore a managed platform, governed enterprise context and data collaboration across an ecosystem.
Official platform overview →IBM watsonx
Explore cataloging, data quality, lineage and data products across enterprise environments.
Official product overview →Selected examples, not an exhaustive comparison or ranking. Source review: 10 November 2026. No affiliation or endorsement.
THE QUESTIONS THAT MATTER
Less jargon.
Better conversations.
Use these questions before the next platform demo or project meeting.
Can people and agents access the same information?
Do not assume they should. Map access to roles and purpose, test permission boundaries and trace which sources can influence an answer.
Is a lakehouse the right foundation for every workload?
Choose from the actual requirements: latency, transaction patterns, data types, governance, skills and cost. An architectural label alone cannot settle the decision.
What makes data ready for an AI assistant?
Useful sources need clear ownership, permission to use them, current content and shared definitions. Test retrieval and answers against representative questions before widening access.
How should we evaluate the result?
Set task-specific measures for correctness, source support, appropriate refusals, latency and cost. Include difficult cases and review failures with a responsible owner.
YOUR NEXT MOVE